AIMC Topic: Vietnam

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Generalizability assessment of AI models across hospitals in a low-middle and high income country.

Nature communications
The integration of artificial intelligence (AI) into healthcare systems within low-middle income countries (LMICs) has emerged as a central focus for various initiatives aiming to improve healthcare access and delivery quality. In contrast to high-in...

Factors associated with 90-day mortality in Vietnamese stroke patients: Prospective findings compared with explainable machine learning, multicenter study.

PloS one
The prevalence and predictors of mortality following an ischemic stroke or intracerebral hemorrhage have not been well established among patients in Vietnam. 2885 consecutive diagnosed patients with ischemic stroke and intracerebral hemorrhage at ten...

Therapists' perspective on acceptance of robot-assisted physical rehabilitation in a middle-income country: a study from Vietnam.

Disability and rehabilitation. Assistive technology
Robot-assisted physical rehabilitation offers promising benefits for patients, yet its adoption among therapists remains a complex challenge. This study investigates the acceptance of robot-assisted physical rehabilitation technology among therapists...

Mitigating machine learning bias between high income and low-middle income countries for enhanced model fairness and generalizability.

Scientific reports
Collaborative efforts in artificial intelligence (AI) are increasingly common between high-income countries (HICs) and low- to middle-income countries (LMICs). Given the resource limitations often encountered by LMICs, collaboration becomes crucial f...

Towards a machine-learning assisted non-invasive classification of dengue severity using wearable PPG data: a prospective clinical study.

EBioMedicine
BACKGROUND: Dengue epidemics impose considerable strain on healthcare resources. Real-time continuous and non-invasive monitoring of patients admitted to the hospital could lead to improved care and outcomes. We evaluated the performance of a commerc...

Applying artificial intelligence and digital health technologies, Viet Nam.

Bulletin of the World Health Organization
PROBLEM: Direct application of digital health technologies from high-income settings to low- and middle-income countries may be inappropriate due to challenges around data availability, implementation and regulation. Hence different approaches are ne...

Three-port transoral robotic thyroidectomy without axillary incision: A preliminary report on a case series from Vietnam.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Transoral robotic thyroidectomy (TORT) is one of the newest approaches and draws attention because of its cosmetic excellence. Here, we present our preliminary data from the initial 5 consecutive patients to explore the feasibility of thr...

Predicting the risk of osteoporosis in older Vietnamese women using machine learning approaches.

Scientific reports
Osteoporosis contributes significantly to health and economic burdens worldwide. However, the development of osteoporosis-related prediction tools has been limited for lower-middle-income countries, especially Vietnam. This study aims to develop pred...

Application of deep learning models to detect coastlines and shorelines.

Journal of environmental management
Identifying and monitoring coastlines and shorelines play an important role in coastal erosion assessment around the world. The application of deep learning models was used in this study to detect coastlines and shorelines in Vietnam using high-resol...

Deep learning models for forecasting dengue fever based on climate data in Vietnam.

PLoS neglected tropical diseases
BACKGROUND: Dengue fever (DF) represents a significant health burden in Vietnam, which is forecast to worsen under climate change. The development of an early-warning system for DF has been selected as a prioritised health adaptation measure to clima...